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Diego Maupomé
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2020 – today
- 2024
- [c15]Diego Maupomé, Fanny Rancourt, Raouf Moncef Belbahar, Marie-Jean Meurs:
A Pretrained Language Model for Mental Health Risk Detection (short paper). ML4CMH@AAAI 2024: 23-28 - [c14]Diego Maupomé, Yves Ferstler, Sébastien Mosser, Marie-Jean Meurs:
Automatically Finding Evidence and Predicting Answers in Mental Health Self-Report Questionnaires. CLEF (Working Notes) 2024: 841-850 - 2023
- [c13]Diego Maupomé, Thomas Soulas, Fanny Rancourt, Ghyslain Cantin-Savoie, Grégoire Winterstein, Sébastien Mosser, Marie-Jean Meurs:
Lightweight Methods for Early Risk Detection. CLEF (Working Notes) 2023: 718-726 - 2022
- [j1]Diego Maupomé, Marie-Jean Meurs
:
Contextualizer: Connecting the Dots of Context with Second-Order Attention. Inf. 13(6): 290 (2022) - [c12]Fanny Rancourt, Diego Maupomé, Marie-Jean Meurs:
On the Influence of Annotation Quality in Suicidal Risk Assessment from Text. Canadian AI 2022 - [c11]Seyed Habib Hosseini Saravani, Lancelot Normand, Diego Maupomé, Fanny Rancourt, Thomas Soulas, Sara Besharati, Anaelle Normand, Sébastien Mosser, Marie-Jean Meurs:
Measuring the Severity of the Signs of Eating Disorders Using Similarity-Based Models. CLEF (Working Notes) 2022: 936-946 - [i4]Diego Maupomé, Fanny Rancourt, Thomas Soulas, Alexandre Lachance, Marie-Jean Meurs, Desislava Aleksandrova, Olivier Brochu Dufour, Igor Pontes, Rémi Cardon, Michel Simard, Sowmya Vajjala:
Automatic Text Simplification of News Articles in the Context of Public Broadcasting. CoRR abs/2212.13317 (2022) - 2021
- [c10]Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs:
Topic Models for Assessment of Mental Health Issues. Canadian AI 2021 - [c9]Maxime D. Armstrong, Diego Maupomé, Marie-Jean Meurs:
Topic Modeling in Embedding Spaces for Depression Assessment. Canadian AI 2021 - [c8]Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt, Marie-Jean Meurs:
Leveraging Textual Similarity to Predict Beck Depression Inventory Answers. Canadian AI 2021 - [c7]Diego Maupomé, Fanny Rancourt, Maxime D. Armstrong, Marie-Jean Meurs:
Position Encoding Schemes for Linear Aggregation of Word Sequences. Canadian AI 2021 - [c6]Diego Maupomé, Maxime D. Armstrong, Fanny Rancourt, Thomas Soulas, Marie-Jean Meurs:
Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural Networks. CLEF (Working Notes) 2021: 1031-1045 - [i3]Diego Maupomé, Marie-Jean Meurs:
An Iterative Contextualization Algorithm with Second-Order Attention. CoRR abs/2103.02190 (2021) - 2020
- [c5]Diego Maupomé, Maxime D. Armstrong, Raouf Moncef Belbahar, Josselin Alezot, Rhon Balassiano, Marc Queudot, Sébastien Mosser, Marie-Jean Meurs:
Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models. CLEF (Working Notes) 2020 - [c4]Diego Maupomé, Marie-Jean Meurs:
Language Modeling with a General Second-Order RNN. LREC 2020: 4749-4753
2010 – 2019
- 2019
- [c3]Diego Maupomé, Marc Queudot, Marie-Jean Meurs:
Inter and Intra Document Attention for Depression Risk Assessment. Canadian AI 2019: 333-341 - [c2]Diego Maupomé, Marie-Jean Meurs:
Multiplicative Models for Recurrent Language Modeling. CICLing (1) 2019: 332-341 - [i2]Diego Maupomé, Marie-Jean Meurs:
Multiplicative Models for Recurrent Language Modeling. CoRR abs/1907.00455 (2019) - [i1]Diego Maupomé, Marc Queudot, Marie-Jean Meurs:
Inter and Intra Document Attention for Depression Risk Assessment. CoRR abs/1907.00462 (2019) - 2018
- [c1]Diego Maupomé, Marie-Jean Meurs:
Using Topic Extraction on Social Media Content for the Early Detection of Depression. CLEF (Working Notes) 2018
Coauthor Index
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last updated on 2024-08-16 00:40 CEST by the dblp team
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